DeepFabric
Build smaller, smarter models that punch above their weight
High-quality synthetic datasets with real tool execution, diverse topic graphs, and built-in evaluation
Domain Input
Topic of ExpertiseTopic Graph
Coverage without redundancyTraining Samples
Real tool executionEvaluation
Prove capabilitiesARCHITECTURE
How DeepFabric Pipeline Works
WHY DEEPFABRIC
Domain-anchored diversity without redundancy
Unique topic graph generation ensures comprehensive coverage of your domain while avoiding the repetitive samples that cause model overfit.
Export directly to TRL, Unsloth, or Axolotl. Evaluate on unseen tasks derived from training splits.
Read the documentationStandard Approach
Repetitive samples, simulated tool outputs, no validation. Models overfit and hallucinate.
DeepFabric Approach
Diverse topic graphs, real tool execution, strict validation. Models are grounded and efficient.
Open source and community driven
Built in the open. Contribute, share datasets, and help make small models more capable.